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AI has potential in creating value in terms of enhanced workload availability and improved performance and efficiency for NFV usecases. This work aims to build machine-Learning models and Tools that can be used by Telcos (typically by the operations team in Telcos). Each of these models aims to solve single problem within a particular category. For example, the first category we have chosen is Failure prediction, and we aim to create 6 models - failure prediction of VMs. Containers, Nodes,  Network-Links, Applications, and middleware services. This project also aims to define set of data models for each of the decision making problems, that will help both provider and consumer of the data to collaborate. 

Presentations

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https://mitsloan.mit.edu/ideas-made-to-matter/decisions-not-data-should-drive-analytics-programs

PTL

Sridhar K. N. Rao (Sridhar Rao)Lei Huang

Committers

Sridhar K. N. Rao Sridhar Rao

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